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Proceedings Paper

Using clustering for document reconstruction
Author(s): Anna Ukovich; Alessandra Zacchigna; Giovanni Ramponi; Gabriella Schoier
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Paper Abstract

In the forensics and investigative science fields there may arise the need of reconstructing documents which have been destroyed by means of a shredder. In a computer-based reconstruction, the pieces are described by numerical features, which represent the visual content of the strips. Usually, the pieces of different pages have been mixed. We propose an approach for the reconstruction which performs a first clustering on the strips to ease the successive matching, be it manual (with the help of a computer) or automatic. A number of features, extracted by means of image processing algorithms, have been selected for this aim. The results show the effectiveness of the features and of the proposed clustering algorithm.

Paper Details

Date Published: 16 February 2006
PDF: 12 pages
Proc. SPIE 6064, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning, 60640J (16 February 2006); doi: 10.1117/12.643761
Show Author Affiliations
Anna Ukovich, Univ. of Trieste (Italy)
Alessandra Zacchigna, Univ. of Trieste (Italy)
Giovanni Ramponi, Univ. of Trieste (Italy)
Gabriella Schoier, Univ. of Trieste (Italy)

Published in SPIE Proceedings Vol. 6064:
Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning
Nasser M. Nasrabadi; Edward R. Dougherty; Jaakko T. Astola; Syed A. Rizvi; Karen O. Egiazarian, Editor(s)

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